Introduction: Hey everyone! 👋I recently completed a hands-on project using Decision Tree Regression, and I was amazed by how simple yet powerful this model is. In this article, I’ll explain what Decision Tree Regression is, why it works so well for...
Introduction: Hello!I recently completed a hands-on project using Support Vector Regression (SVR), one of the coolest and most powerful regression techniques in the ML toolkit. In this post, I’ll walk you through what SVR is, why it’s different from...
Introduction: Hey everyone!I recently completed a project on Polynomial Regression as part of my Machine Learning learning path. This post walks you through what Polynomial Regression is, why we need it, how I implemented it using Python, and key ta...
A Machine Learning Approach using Linear Regression Introduction With the growing digital economy, understanding where to focus — mobile app or website — is a critical question for e-commerce businesses. In this project, I used a Kaggle dataset that...
Till now, things were simple!! All relationships were in straight line, so it was pretty easy to take certain decisions. Later we learned how Multiple Linear Regression (MLR) models relationships where the effect of independent variables is linear. B...
Supervised Learning in Python — Regression vs Classification with Code & Diagrams 🔍 Introduction If you’ve ever used Spotify recommendations, email spam filters, or price predictions for used cars, you’ve experienced Supervised Learning in action. ...
In the previous blog, we learned how Simple Linear Regression helps predict a continuous value (like house prices) based on one factor (like house size). But in real-world, things are more complex. For example, a car’s price depends on:✅ Horsepower (...
Putting forth the concept of Regression in simple words: Regression is a supervised learning technique used to predict a continuous numerical value based on input features. Before we dive any further, let us recap, what is supervised learning once: ...
[45] Introduction Machine learning is a subset of artificial intelligence, which provides systems/machines the ability to learn automatically & improve from experience without being explicitly programmed. It focuses mainly on the designing of systems...
Linear Regression is one of the most common machine learning algorithms. It is especially used in regression problems in machine learning. This article will help you deduce the depths of this algorithm and will make your understanding of it clearer. ...
